Marie Tani
- Immunology top 2%
- Oncology top 2%
- Neurology top 1%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Co-authors
- Richard M. RansohoffTorben Lykke SørensenVincent K. TuohyVirginia A FolcikJette Lautrup FrederiksenFinn SellebjergClaudia F. LucchinettiShixin Qin
- Topics
- Chemokine receptors and signaling (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Cytokine Signaling Pathways and Interactions (5 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Marie Tani
17 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.4k
- Oncology 1.0k
- Neurology 845
- Pathology and Forensic Medicine 603
- Molecular Biology 422
Countries citing papers authored by Marie Tani
This map shows the geographic impact of Marie Tani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marie Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Tani more than expected).
Fields of papers citing papers by Marie Tani
This network shows the impact of papers produced by Marie Tani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marie Tani. The network helps show where Marie Tani may publish in the future.
Co-authorship network of co-authors of Marie Tani
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Tani. A scholar is included among the top collaborators of Marie Tani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marie Tani. Marie Tani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | 120 | |
| 3 | 22 | |
| 4 | 125 | |
| 5 | 50 | |
| 6 | 198 | |
| 7 | 33 | |
| 8 | 51 | |
| 9 | Expression of specific chemokines and chemokine receptors in the central nervous system of multiple sclerosis patientsbreakdown → | 853 |
| 10 | 166 | |
| 11 | 177 | |
| 12 | 180 | |
| 13 | 20 | |
| 14 | 21 | |
| 15 | In situ hybridization analysis of glial fibrillary acidic protein mRNA reveals evidence of biphasic astrocyte activation during acute experimental autoimmune encephalomyelitis. | 106 |
| 16 | 61 | |
| 17 | 436 |
About Marie Tani
Marie Tani is a scholar working on Neurology, Immunology and Oncology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Neurology (845 citations), Immunology (1.4k citations) and Developmental Neuroscience (236 citations). Marie Tani has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Richard M. Ransohoff, Torben Lykke Sørensen, Vincent K. Tuohy, Virginia A Folcik, Jette Lautrup Frederiksen, Finn Sellebjerg, Claudia F. Lucchinetti, Shixin Qin, Robert M. Strieter and Jakob Schmidt Jensen. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and Brain.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.